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1
Assessing Abandoned Mine Lands Through Water Quality Analysis, Predictive Modeling, and a Vulnerability Mapping Tool
Assessing Abandoned Mine Lands Through Water Quality Analysis, Predictive Modeling, and a Vulnerability Mapping Tool
Bonham, Emma. | Arizona State University | 2025
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2
Bayesian Predictive Posterior Distributions
Bayesian Predictive Posterior Distributions
Cui, Fuheng | The University of Texas at Austin | 2025
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3
Crash Modification Factors, Predictive Hotspot Identification, and Treatment Selection in Texas and Peer States
Crash Modification Factors, Predictive Hotspot Identification, and Treatment Selection in Texas and Peer States
Hasan, Manar | The University of Texas at Austin | 2025
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4
Pitfalls of Neuroimaging Predictive Models of Individual Differences
Pitfalls of Neuroimaging Predictive Models of Individual Differences
Rosenblatt, Matthew. | Yale University | 2025
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5
Evaluating Multi-Modal Data Fusion Approaches for Predictive Clinical Models Using Multiple Medical Data Domains
Evaluating Multi-Modal Data Fusion Approaches for Predictive Clinical Models Using Multiple Medical Data Domains
Alipour, Ehsan. | University of Washington | 2025
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6
Supervisory, Time-Distributed, and Optimization-Based Strategies for Model Predictive Control
Supervisory, Time-Distributed, and Optimization-Based Strategies for Model Predictive Control
Leung, Jordan. | University of Michigan | 2024
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7
Statistical Machine Learning-Based Predictive Control of Nonlinear Processes
Statistical Machine Learning-Based Predictive Control of Nonlinear Processes
Alnajdi, Aisha M. A. S. | University of California, Los Angeles | 2024
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8
Data-Driven Predictive Control Beyond Linearity: An Autonomous Driving Perspective
Data-Driven Predictive Control Beyond Linearity: An Autonomous Driving Perspective
Nair, Siddharth. | University of California, Berkeley | 2024
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9
Efficient and Predictive Coding From Compression and Control by Human Brain Networks- [electronic resource]
Efficient and Predictive Coding From Compression and Control by Human Brain Networks- [electronic resource]
Zhou, Dale.Neuroscience. | University of Pennsylvania. | 2023
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10
How to Apply Directed Acyclic Graphs to Descriptive, Predictive, and Causal Inference Aims in Epidemiology- [electronic resource]
How to Apply Directed Acyclic Graphs to Descriptive, Predictive, and Causal Inference Aims in Epidemiology- [electronic resource]
Wickramasekaran, Ranjana Nisha.Epidemiology 0357. | University of California, Los Angeles. | 2023
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